Twitter LPG dataset
收藏arXiv2025-09-30 收录
下载链接：
https://github.com/neo4j-graph-examples/twitter-v2
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资源简介：
该数据集的概要是，推特图模式由6个实体和13个弧组成。在超过68%的案例中，模式感知的可达性非常有价值，因为它在很大程度上减少了回溯的次数。每个执行过程中，大约包含700个节点和700个弧。任务是对图可达性进行优化。
Overview of this dataset: The Twitter graph schema consists of 6 entities and 13 arcs. In over 68% of cases, schema-aware reachability is highly valuable, as it greatly reduces the number of backtracking operations. Each execution process contains approximately 700 nodes and 700 arcs. The task is to optimize graph reachability.
